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Baby Care Units: Admissions

Question for Department of Health and Social Care

UIN HL6949, tabled on 16 April 2018

To ask Her Majesty's Government, further to the Written Answer by Lord Young of Cookham on 14 March (HL5971) showing a “clear overall upward trend” in the number and rate of hospital episodes for neonates from 2000–01 to 2016–17, what assessment they have made of the reasons for that increase; and what was the annual expenditure resulting from such admissions in each of those years.

Answered on

30 April 2018

Two factors have led to the increase in the number and rate of hospital episodes for neonates. Firstly an increase in the numbers of extremely preterm children admitted and surviving over the last 16 years, a trend that continues.

Secondly, there has been an increase in admission of babies born at full term. This is a factor that has been recognised and that we are tackling through the Addressing Term Admissions In Neonatal Units (ATAIN) programme. The ATAIN programme will support healthcare professionals to improve outcomes for babies, mothers and families through the delivery of safer care with a focus on four clinical areas: respiratory conditions; hypoglycaemia; jaundice; and asphyxia (perinatal hypoxia-ischaemia). ATAIN aims to ensure that no baby is separated from their mother unnecessarily by admission to the neonatal intensive care unit.

The following table shows the data supplied by hubs in the Clinical Commissioning Group (CCG) Expenditure exercises which NHS England undertakes annually against the NPoC (National Programme of Care) code E08 Neonatal Critical Care. This data covers specialised services expenditure only and no data is held prior to 2013/14 when NHS England came into being.

Year

Expenditure £ million

2013/14

724

2014/15

690

2015/16

705

2016/17

721

The financial values have been consolidated through the use of NPoC (National Programme of Care) codes and are taken from our annual CCG expenditure exercise. This exercise uses Provider Aggregate Contract Monitoring as the basis for the data; where this data is incomplete hubs will apportion / estimate any missing values.

Answered by

Department of Health and Social Care